LangChain Raises $300M Series C at $3B Valuation
LangChain announced on Nov 13 it has raised $300 million in a Series C round at a $3 billion valuation, led by existing investor CapitalG.

What happened
The Wall Street Journal first reported the round on Nov 12, and LangChain announced it officially on Nov 13. The round was led by CapitalG, Alphabet’s independent growth fund, with new investors GIC and DFJ Growth and existing investors IVP and Sapphire Ventures; Salesforce Ventures, Insight Venture Partners, QuantumLight and MongoDB Ventures joined as new investors, while Sequoia, Amplify and Benchmark increased their participation.
The valuation is more than double the $1.25 billion mark LangChain set with its $125 million Series B in October 2025. Including this round, the company has raised about $460 million in total funding.
Where the money goes
LangChain will use the capital to expand LangSmith, an enterprise platform for running, improving and governing agents regardless of the framework used to build them. The company will share several new LangSmith capabilities at a release event on Nov 20.
The company has 435 employees and plans to reach 850 by the end of 2027. LangChain started with open-source tools for building AI agents and now centers on LangSmith as its main product line.
Key facts
- Round: $300 million Series C at a $3 billion valuation; first reported by the Wall Street Journal on Nov 12, announced by the company on Nov 13
- Lead: Led by CapitalG, Alphabet’s independent growth fund; new investors GIC and DFJ Growth, with IVP and Sapphire Ventures returning
- Valuation: More than double the $1.25 billion mark from the October 2025 Series B; about $460 million raised in total
- Use: Expand LangSmith, an enterprise platform for running, improving and governing agents regardless of framework
- Event: A Nov 20 release event will share several new LangSmith capabilities
- Team: 435 employees, with plans to reach 850 by the end of 2027
Why it matters
LangChain’s valuation has more than doubled in 13 months, with capital going to the run-and-govern phase of agents after deployment; LangSmith is positioned as a framework-agnostic agent platform, and the round’s size reflects enterprise demand for observability and control tooling when deploying agents.
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